That sounds a lot like something that the cosine similarity would pick up on for sure.
On Sun, May 6, 2012 at 6:48 PM, Will C <[email protected]> wrote: > So I've taken another try at using recommendations values. However, unlike > something that a user is explicitly rating on a scale of 0-5. I am using a > user's activity. Certain activities of a user toward an item are negative, > and certain are positive. > > If I have users 1 and 2 and 3, and product X, and their preferences are as > follows: > > 1, X, -1 > 2, X, 1 > 3, X, 10 > > Clearly 2 and 3 are closer than 2 and 1, because they both like product X, > just to varying degrees. However, most distance algorithms I've tried are > incorrectly showing 1 and 2 closer because their difference is less. > > Am I approaching this wrong? Other than switching to boolean preferences, > is there a better way to approach this? > > -Will
